[PR #3230] feat:add langchain-mineru docs #3292

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opened 2026-06-05 18:21:42 -04:00 by yindo · 0 comments
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📋 Pull Request Information

Original PR: https://github.com/langchain-ai/docs/pull/3230
Author: @chaserRen
Created: 3/20/2026
Status: 🔄 Open

Base: mainHead: langchain-mineru


📝 Commits (2)

  • 87e85bb feat:add langchain-mineru docs
  • 6202e30 Merge branch 'main' into langchain-mineru

📊 Changes

2 files changed (+245 additions, -0 deletions)

View changed files

📝 src/oss/python/integrations/document_loaders/index.mdx (+2 -0)
src/oss/python/integrations/document_loaders/mineru.mdx (+243 -0)

📄 Description

Overview

Add langchain-mineru integration docs.

langchain-mineru is a LangChain document loader powered by MinerU. It converts documents into LangChain-compatible Document objects in Markdown format, supports both local file paths and URLs, provides flash and precision modes, and optionally supports split_pages for PDF inputs. The integration is intended for downstream LangChain workflows such as text splitting, embedding, and retrieval.

Type of change

Type: New documentation page

Related issues/PRs

  • GitHub issue: N/A — this PR is submitted by the official MinerU integration team for a new official integration docs page.
  • Feature PR: N/A
  • Linear issue: N/A
  • Slack thread: N/A

Checklist

  • I have read the contributing guidelines, including the language policy
  • I have tested my changes locally using docs dev
  • All code examples have been tested and work correctly
  • I have used root relative paths for internal links
  • I have updated navigation in src/docs.json if needed

Additional notes

This PR adds documentation for the official langchain-mineru integration.
The docs cover:

  • installation and import
  • quick start usage
  • local file path and URL inputs
  • flash mode (token-free) and precision mode (token required)
  • optional split_pages support for PDFs
  • multi-source loading
  • example RAG pipeline usage
  • key parameters, metadata, supported formats, and limitations

The integration returns Markdown-based LangChain Document objects and is designed to work smoothly with downstream LangChain components.


🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/langchain-ai/docs/pull/3230 **Author:** [@chaserRen](https://github.com/chaserRen) **Created:** 3/20/2026 **Status:** 🔄 Open **Base:** `main` ← **Head:** `langchain-mineru` --- ### 📝 Commits (2) - [`87e85bb`](https://github.com/langchain-ai/docs/commit/87e85bb23ebcd378e84b49e4bef9d7b7215a81df) feat:add langchain-mineru docs - [`6202e30`](https://github.com/langchain-ai/docs/commit/6202e301ed79db419fa6919ea6ded26691803ccc) Merge branch 'main' into langchain-mineru ### 📊 Changes **2 files changed** (+245 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `src/oss/python/integrations/document_loaders/index.mdx` (+2 -0) ➕ `src/oss/python/integrations/document_loaders/mineru.mdx` (+243 -0) </details> ### 📄 Description ## Overview Add langchain-mineru integration docs. `langchain-mineru` is a LangChain document loader powered by MinerU. It converts documents into LangChain-compatible `Document` objects in Markdown format, supports both local file paths and URLs, provides `flash` and `precision` modes, and optionally supports `split_pages` for PDF inputs. The integration is intended for downstream LangChain workflows such as text splitting, embedding, and retrieval. ## Type of change **Type:** New documentation page ## Related issues/PRs - GitHub issue: N/A — this PR is submitted by the official MinerU integration team for a new official integration docs page. - Feature PR: N/A - Linear issue: N/A - Slack thread: N/A ## Checklist - [x] I have read the [contributing guidelines](README.md), including the [language policy](https://docs.langchain.com/oss/python/contributing/overview#language-policy) - [x] I have tested my changes locally using `docs dev` - [x] All code examples have been tested and work correctly - [x] I have used **root relative** paths for internal links - [ ] I have updated navigation in `src/docs.json` if needed ## Additional notes This PR adds documentation for the official `langchain-mineru` integration. The docs cover: - installation and import - quick start usage - local file path and URL inputs - `flash` mode (token-free) and `precision` mode (token required) - optional `split_pages` support for PDFs - multi-source loading - example RAG pipeline usage - key parameters, metadata, supported formats, and limitations The integration returns Markdown-based LangChain `Document` objects and is designed to work smoothly with downstream LangChain components. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
yindo added the pull-request label 2026-06-05 18:21:42 -04:00
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Reference: langchain-ai/docs#3292